Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

• Design decision trade-offs
• Cost optimization
• Build, buy or modify
• Supporting the application design
• Movement of data
• Compliance and observability
• Business use cases and product strategy
• Integration with external systems
• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

Technical requirements considerations

• Performance and latency
• High availability and failover design
• Scalability to meet growth requirements
• Elasticity of cloud resources

Network, Storage, and Compute resources Considerations

• Mapping compute needs to platform products
• Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
• Cloud-native networking (VPC, peering, firewalls, container networking)
• Choosing data processing technologies
• Integration with on- premises/multi- cloud environments
• Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)

Creating a migration plan

• Dependency management planning
• Migrating systems and data to support the solution
• Network planning
• Testing and proof of concept
• Integrating solution with existing systems
• Licensing mapping

Envisioning future solution improvements

• Business needs evolution
• Evangelism and advocacy
• Cloud and technology improvements

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

• Extending to a multi-cloud environment that may include GCP to GCP communication
• Extending to on-premises (hybrid networking)
• Security and data protection

Configuring individual storage systems

• Data growth management
• Security and access management
• Data processing/compute provisioning
• Network configuration for data transfer and latency
• Data retention and data life cycle management
• Data storage allocation

Configuring compute systems

• Network configuration for compute nodes
• Container orchestration with Kubernetes
• Compute volatility configuration (preemptible vs. standard)
• Compute system provisioning
• Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)

3. Designing for security and compliance

Security considerations

• Resource hierarchy (organizations, folders, projects)
• Penetration testing
• Identity and access management (IAM)
• Security controls (e.g., auditing, VPC Service Controls organization policy)
• Separation of duties (SoD)
• Managing customer- managed encryption keys with Cloud KMS
• Data security (key management, encryption)

compliance Considerations

• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
• Audits (including logs)
• Industry certifications (e.g., SOC 2)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

• Service catalog and provisioning
• Continuous integration / continuous deployment
• Software development life cycle plan (SDLC)
• Troubleshooting / post mortem analysis culture
• Testing and validation
• Business continuity and disaster recovery

Analyzing and defining business processes. Considerations include:

• Customer success management
• Team assessment / skills readiness
• Cost optimization / resource optimization (capex / opex)
• Change management
• Stakeholder management (e.g. influencing and facilitation)
• Decision- making process

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

• Data and system migration tooling
• Testing frameworks (load/unit/integration)
• Application development
• API best practices

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

• Assisting with the support of solutions in operation
• Evaluating quality control measures
• Monitoring/logging/profiling/alerting solution
• Deployment and release management

Designing for Compliance and Security

• Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;
• Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).

Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

• Cloud Solution Architecture Design & Planning

  Here the candidates need to demonstrate their skills in designing a solution infrastructure that satisfies the business needs; envisioning future solution improvements; creating a migration plan; designing network, compute, and storage resources; designing a solution infrastructure that satisfies the technical needs.

• Analysis & Optimization of Technical & Business Processes

  Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.

• Ensuring of Solution & Operations Reliability

  To tackle the questions related to the last domain, the applicants are required to be conversant with monitoring/logging/profiling/alerting solutions. They should know how to perform deployment & release management as well as evaluate quality control measures. IN addition, the specialists must be able to assist with the support of deployed solutions.

• Implementation Management

  The aim of this module is to evaluate the ability of the individuals to advise operation or development team(s) to ensure the successful deployment of the solution. This includes application development, API best practices, testing frameworks, as well as data & system migration and management tooling. The examinees should also be capable of interacting with Google Cloud programmatically. This requires their understanding of Google Cloud Shell, Google Cloud SDK, and Cloud Emulators.

• Management & Provisioning of Solution Infrastructure

  In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.

• Security & Compliance Design

  The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

Reference: https://cloud.google.com/certification/cloud-architect

The benefit of obtaining the Google Professional Cloud Architect Exam Certification

• Google Professional Cloud Architect Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
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• Google Professional Cloud Architect will be confident and stand different from others as their skills are more trained than non-certified professionals.